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"Mathematicians would call this Nonlinear Least Squares (the model is non-linear in some of the parameters - here the exponents), vs Linear Least Squares (which is linear in ALL the parameters). A commonly recommended algorithm for solving such…"

AbstractThe “new square method” is an improved approach based on the “least square method”. It calculates not only the constants and coefficients but also the variables’ power values in a model in the course of data regression calculations, thus bringing about a simpler and more accurate calculation for non-linear data regression processes.PrefaceIn non-linear data regression calculations, the “least square method” is applied for mathematical substitutions and transformations in a model, but…See More

AbstractThe “new square method” is an improved approach based on the “least square method”. It calculates not only the constants and coefficients but also the variables’ power values in a model in the course of data regression calculations, thus bringing about a simpler and more accurate calculation for non-linear data regression processes.PrefaceIn non-linear data regression calculations, the “least square method” is applied for mathematical substitutions and transformations in a model, but…See More

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Yanping wang's Blog

The “new square method” is an improved approach based on the “least square method”. It calculates not only the constants and coefficients but also the variables’ power values in a model in the course of data regression calculations, thus bringing about a simpler and more accurate calculation for non-linear data regression processes.